Evaluation of methods for differential expression analysis on multi-group RNA-seq count data.

abstract：BACKGROUND:Microarray technology is commonly used as a simple screening tool with a focus on selecting genes that exhibit extremely large differential expressions between different phenotypes. It lacks the ability to select genes that change their relationships with other genes in different biological conditions (diffe...

journal_title：BMC bioinformatics

authors： Hu R,Qiu X,Glazko G,Klebanov L,Yakovlev A

更新日期：2009-01-15 00:00:00

abstract：BACKGROUND:Network enrichment analysis is a powerful method, which allows to integrate gene enrichment analysis with the information on relationships between genes that is provided by gene networks. Existing tests for network enrichment analysis deal only with undirected networks, they can be computationally slow and a...

journal_title：BMC bioinformatics

authors： Signorelli M,Vinciotti V,Wit EC

更新日期：2016-09-05 00:00:00

abstract：BACKGROUND:Drug resistance testing is mandatory in antiretroviral therapy in human immunodeficiency virus (HIV) infected patients for successful treatment. The emergence of resistances against antiretroviral agents remains the major obstacle in inhibition of viral replication and thus to control infection. Due to the h...

journal_title：BMC bioinformatics

authors： Riemenschneider M,Hummel T,Heider D

更新日期：2016-08-22 00:00:00

abstract：BACKGROUND:Analyzing Variance heterogeneity in genome wide association studies (vGWAS) is an emerging approach for detecting genetic loci involved in gene-gene and gene-environment interactions. vGWAS analysis detects variability in phenotype values across genotypes, as opposed to typical GWAS analysis, which detects v...

journal_title：BMC bioinformatics

authors： Al Kawam A,Alshawaqfeh M,Cai JJ,Serpedin E,Datta A

更新日期：2018-03-21 00:00:00

abstract：BACKGROUND:We introduce Approximate Entropy as a mathematical method of analysis for microarray data. Approximate entropy is applied here as a method to classify the complex gene expression patterns resultant of a clinical sample set. Since Entropy is a measure of disorder in a system, we believe that by choosing genes...

journal_title：BMC bioinformatics

authors： Botting SK,Trzeciakowski JP,Benoit MF,Salama SA,Diaz-Arrastia CR

更新日期：2009-02-20 00:00:00

abstract：BACKGROUND:An important step in understanding the conditions that specify gene expression is the recognition of gene regulatory elements. Due to high diversity of different types of transcription factors and their DNA binding preferences, it is a challenging problem to establish an accurate model for recognition of fun...

journal_title：BMC bioinformatics

authors： Stepanova M,Lin F,Lin VC

更新日期：2006-12-12 00:00:00

abstract：BACKGROUND:Introduction of spaced speeds opened a way of sensitivity improvement in homology search without loss of search speed. Since then, the efforts of finding optimal seed which maximizes the sensitivity have been continued today. The sensitivity of a seed is generally computed by its hit probability. However, th...

journal_title：BMC bioinformatics

authors： Chung WH,Park SB

更新日期：2010-01-18 00:00:00

abstract：BACKGROUND:It is useful to develop a tool that would effectively describe protein mutation matrices specifically geared towards the identification of mutations that produce either wanted or unwanted effects, such as an increase or decrease in affinity, or a predisposition towards misfolding. Here, we describe a tool wh...

journal_title：BMC bioinformatics

authors： David MP,Lapid CM,Daria VR

更新日期：2008-04-28 00:00:00

abstract：BACKGROUND:RNA sequencing (RNA-seq) has become the standard means of analyzing gene and transcript expression in high-throughput. While previously sequence alignment was a time demanding step, fast alignment methods and even more so transcript counting methods which avoid mapping and quantify gene and transcript expres...

journal_title：BMC bioinformatics

authors： Pérez-Rubio P,Lottaz C,Engelmann JC

更新日期：2019-05-03 00:00:00

abstract：BACKGROUND:In the adaptive immune system, variable regions of immunoglobulin (IG) are encoded by random recombination of variable (V), diversity (D), and joining (J) gene segments in the germline. Partitioning the functional antibody sequences to their sourcing germline gene segments is vital not only for understanding...

journal_title：BMC bioinformatics

authors： Wang X,Wu D,Zheng S,Sun J,Tao L,Li Y,Cao Z

更新日期：2008-12-12 00:00:00

abstract：BACKGROUND:Microorganisms display vast diversity, and each one has its own set of genes, cell components and metabolic reactions. To assess their huge unexploited metabolic potential in different ecosystems, we need high throughput tools, such as functional microarrays, that allow the simultaneous analysis of thousands...

journal_title：BMC bioinformatics

authors： Terrat S,Peyretaillade E,Gonçalves O,Dugat-Bony E,Gravelat F,Moné A,Biderre-Petit C,Boucher D,Troquet J,Peyret P

更新日期：2010-09-23 00:00:00

abstract：BACKGROUND:Estimation of individual ancestry from genetic data is useful for the analysis of disease association studies, understanding human population history and interpreting personal genomic variation. New, computationally efficient methods are needed for ancestry inference that can effectively utilize existing inf...

journal_title：BMC bioinformatics

authors： Bansal V,Libiger O

更新日期：2015-01-16 00:00:00

abstract：BACKGROUND:The traditional phylogeny analysis within gene family is mainly based on DNA or amino acid sequence homologies. However, these phylogenetic tree analyses are not suitable for those "non-traditional" gene families like microRNA with very short sequences. For the normal protein-coding gene families, low bootst...

journal_title：BMC bioinformatics

authors： Cai B,Yang X,Tuskan GA,Cheng ZM

更新日期：2011-03-18 00:00:00

abstract：BACKGROUND:Supervised learning and many stochastic methods for predicting protein-protein interactions require both negative and positive interactions in the training data set. Unlike positive interactions, negative interactions cannot be readily obtained from interaction data, so these must be generated. In protein-pr...

journal_title：BMC bioinformatics

authors： Kim J,Huang DS,Han K

更新日期：2009-01-30 00:00:00

abstract：BACKGROUND:The advent of RNA interference techniques enables the selective silencing of biologically interesting genes in an efficient way. In combination with DNA microarray technology this enables researchers to gain insights into signaling pathways by observing downstream effects of individual knock-downs on gene ex...

journal_title：BMC bioinformatics

authors： Froehlich H,Fellmann M,Sueltmann H,Poustka A,Beissbarth T

更新日期：2007-10-15 00:00:00

abstract：BACKGROUND:Many statistical methods have been proposed to identify disease biomarkers from gene expression profiles. However, from gene expression profile data alone, statistical methods often fail to identify biologically meaningful biomarkers related to a specific disease under study. In this paper, we develop a nove...

journal_title：BMC bioinformatics

authors： Chen L,Xuan J,Wang C,Shih IeM,Wang Y,Zhang Z,Hoffman E,Clarke R

更新日期：2008-10-06 00:00:00

abstract：BACKGROUND:Very often genome-wide data analysis requires the interoperation of multiple databases and analytic tools. A large number of genome databases and bioinformatics applications are available through the web, but it is difficult to automate interoperation because: 1) the platforms on which the applications run a...

journal_title：BMC bioinformatics

authors： de Knikker R,Guo Y,Li JL,Kwan AK,Yip KY,Cheung DW,Cheung KH

更新日期：2004-03-10 00:00:00

abstract：BACKGROUND:Automated genotype calling in tetraploid species was until recently not possible, which hampered genetic analysis. Modern genotyping assays often produce two signals, one for each allele of a bi-allelic marker. While ample software is available to obtain genotypes (homozygous for either allele, or heterozygo...

journal_title：BMC bioinformatics

authors： Voorrips RE,Gort G,Vosman B

更新日期：2011-05-19 00:00:00

abstract：BACKGROUND:The amount of gene expression data available in public repositories has grown exponentially in the last years, now requiring new data mining tools to transform them in information easily accessible to biologists. RESULTS:By exploiting expression data publicly available in the Gene Expression Omnibus (GEO) d...

journal_title：BMC bioinformatics

authors： Cremaschi P,Rovida S,Sacchi L,Lisa A,Calvi F,Montecucco A,Biamonti G,Bione S,Sacchi G

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:Microarray co-expression signatures are an important tool for studying gene function and relations between genes. In addition to genuine biological co-expression, correlated signals can result from technical deficiencies like hybridization of reporters with off-target transcripts. An approach that is able to...

journal_title：BMC bioinformatics

authors： Casneuf T,Van de Peer Y,Huber W

更新日期：2007-11-26 00:00:00

abstract：BACKGROUND:Human breast cancer resistance protein (BCRP) is an ATP-binding cassette (ABC) efflux transporter that confers multidrug resistance in cancers and also plays an important role in the absorption, distribution and elimination of drugs. Prediction as to if drugs or new molecular entities are BCRP substrates sho...

journal_title：BMC bioinformatics

authors： Hazai E,Hazai I,Ragueneau-Majlessi I,Chung SP,Bikadi Z,Mao Q

更新日期：2013-04-15 00:00:00

abstract：BACKGROUND:Observed co-expression of a group of genes is frequently attributed to co-regulation by shared transcription factors. This assumption has led to the hypothesis that promoters of co-expressed genes should share common regulatory motifs, which forms the basis for numerous computational tools that search for th...

journal_title：BMC bioinformatics

authors： Meng G,Mosig A,Vingron M

更新日期：2010-05-20 00:00:00

abstract：BACKGROUND:Biological data that are well-organized by an ontology, such as Gene Ontology, enables high-throughput availability of the semantic web. It can also be used to facilitate high throughput classification of biomedical information. However, to our knowledge, no evaluation has been published on automating classi...

journal_title：BMC bioinformatics

authors： Chen JL,Liu Y,Sam LT,Li J,Lussier YA

更新日期：2007-05-09 00:00:00

abstract：BACKGROUND:Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited for annotating gene functions and dissecting specific pathway structures. However, our understanding is rather limited to the relationship bet...

journal_title：BMC bioinformatics

authors： You ZH,Yin Z,Han K,Huang DS,Zhou X

更新日期：2010-06-24 00:00:00

abstract：BACKGROUND:InterPro is a collection of protein signatures for the classification and automated annotation of proteins. Interproscan is a software tool that scans protein sequences against Interpro member databases using a variety of profile-based, hidden markov model and positional specific score matrix methods. It not...

journal_title：BMC bioinformatics

authors： Kelly RJ,Vincent DE,Friedberg I

更新日期：2010-12-21 00:00:00

abstract：BACKGROUND:RNA sequencing has become an increasingly affordable way to profile gene expression patterns. Here we introduce a workflow implementing several open-source softwares that can be run on a high performance computing environment. RESULTS:Developed as a tool by the Bioinformatics Shared Resource Group (BISR) at...

journal_title：BMC bioinformatics

authors： Gadepalli VS,Ozer HG,Yilmaz AS,Pietrzak M,Webb A

更新日期：2019-12-20 00:00:00

abstract：BACKGROUND:Fluorescence microscopy is widely used to determine the subcellular location of proteins. Efforts to determine location on a proteome-wide basis create a need for automated methods to analyze the resulting images. Over the past ten years, the feasibility of using machine learning methods to recognize all maj...

journal_title：BMC bioinformatics

authors： Chebira A,Barbotin Y,Jackson C,Merryman T,Srinivasa G,Murphy RF,Kovacević J

更新日期：2007-06-19 00:00:00

abstract：BACKGROUND:Over the last few years transcriptome sequencing (RNA-Seq) has almost completely taken over microarrays for high-throughput studies of gene expression. Currently, the most popular use of RNA-Seq is to identify genes which are differentially expressed between two or more conditions. Despite the importance of ...

journal_title：BMC bioinformatics

authors： Rahmatallah Y,Emmert-Streib F,Glazko G

更新日期：2014-12-05 00:00:00

abstract：BACKGROUND:An approach to molecular classification based on the comparative expression of protein pairs is presented. The method overcomes some of the present limitations in using peptide intensity data for class prediction for problems such as the detection of a disease, disease prognosis, or for predicting treatment ...

journal_title：BMC bioinformatics

authors： Kaur P,Schlatzer D,Cooke K,Chance MR

更新日期：2012-08-07 00:00:00

abstract：BACKGROUND:The detection of weak signals and selection of single particles from low-contrast micrographs of frozen hydrated biomolecules by cryo-electron microscopy (cryo-EM) represents a major practical bottleneck in cryo-EM data analysis. Template-based particle picking by an objective function using fast local corre...

journal_title：BMC bioinformatics

authors： Wang WL,Yu Z,Castillo-Menendez LR,Sodroski J,Mao Y

更新日期：2019-04-03 00:00:00